Arda Mizrak

1.0k total citations
11 papers, 786 citations indexed

About

Arda Mizrak is a scholar working on Molecular Biology, Cell Biology and Epidemiology. According to data from OpenAlex, Arda Mizrak has authored 11 papers receiving a total of 786 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Cell Biology and 3 papers in Epidemiology. Recurrent topics in Arda Mizrak's work include Ubiquitin and proteasome pathways (5 papers), Endoplasmic Reticulum Stress and Disease (3 papers) and Microtubule and mitosis dynamics (3 papers). Arda Mizrak is often cited by papers focused on Ubiquitin and proteasome pathways (5 papers), Endoplasmic Reticulum Stress and Disease (3 papers) and Microtubule and mitosis dynamics (3 papers). Arda Mizrak collaborates with scholars based in United States, Austria and Germany. Arda Mizrak's co-authors include Gokhan Baris Ozdener, Okay Saydam, Xandra O. Breakefield, Sibylle Madlener, Mehmet Fatih Bolukbasi, Thomas Ströbel, Erdoğan Pekcan Erkan, Gary J. Brenner, Jian‐Bing Fan and Ozlem Senol and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Arda Mizrak

11 papers receiving 780 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Arda Mizrak United States 9 711 445 55 52 47 11 786
Alexey Ball United States 6 584 0.8× 452 1.0× 19 0.3× 38 0.7× 25 0.5× 7 690
Gokhan Baris Ozdener United States 6 661 0.9× 452 1.0× 52 0.9× 50 1.0× 13 0.3× 6 722
Inna Lipchina United States 9 658 0.9× 232 0.5× 37 0.7× 72 1.4× 21 0.4× 10 773
Yaguang Zhang China 14 495 0.7× 205 0.5× 33 0.6× 47 0.9× 26 0.6× 34 647
Siwen Liu China 15 408 0.6× 339 0.8× 34 0.6× 76 1.5× 12 0.3× 37 637
Irene Raitman United States 6 291 0.4× 154 0.3× 53 1.0× 101 1.9× 77 1.6× 10 554
Louise Mitchell United Kingdom 9 324 0.5× 151 0.3× 25 0.5× 42 0.8× 99 2.1× 15 439
Katherine L. West United Kingdom 15 849 1.2× 128 0.3× 24 0.4× 85 1.6× 32 0.7× 24 1.0k
Acong Yang China 16 759 1.1× 318 0.7× 37 0.7× 47 0.9× 46 1.0× 26 896
Alberto Arrigoni Italy 9 395 0.6× 272 0.6× 13 0.2× 111 2.1× 100 2.1× 12 635

Countries citing papers authored by Arda Mizrak

Since Specialization
Citations

This map shows the geographic impact of Arda Mizrak's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Arda Mizrak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arda Mizrak more than expected).

Fields of papers citing papers by Arda Mizrak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arda Mizrak. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Arda Mizrak. The network helps show where Arda Mizrak may publish in the future.

Co-authorship network of co-authors of Arda Mizrak

This figure shows the co-authorship network connecting the top 25 collaborators of Arda Mizrak. A scholar is included among the top collaborators of Arda Mizrak based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Arda Mizrak. Arda Mizrak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Hickey, Kelsey, Alexandra Panov, Arda Mizrak, et al.. (2024). Temporal control of acute protein aggregate turnover by UBE3C and NRF1-dependent proteasomal pathways. Proceedings of the National Academy of Sciences. 121(50). e2417390121–e2417390121. 1 indexed citations
2.
Mizrak, Arda, Chia‐Wei Lee, Marcelo Cicconet, et al.. (2022). Identification of two pathways mediating protein targeting from ER to lipid droplets. Nature Cell Biology. 24(9). 1364–1377. 55 indexed citations
3.
Mizrak, Arda & David O. Morgan. (2019). Polyanions provide selective control of APC/C interactions with the activator subunit. Nature Communications. 10(1). 5807–5807. 9 indexed citations
4.
Mizrak, Arda, et al.. (2019). Mrx6 regulates mitochondrial DNA copy number inSaccharomyces cerevisiaeby engaging the evolutionarily conserved Lon protease Pim1. Molecular Biology of the Cell. 31(7). 527–545. 22 indexed citations
6.
Simsek, Deniz, Arda Mizrak, Adam M. Deutschbauer, et al.. (2018). Genetic analysis reveals functions of atypical polyubiquitin chains. eLife. 7. 11 indexed citations
7.
Girard, Juliet R., et al.. (2015). Quantitative framework for ordered degradation of APC/C substrates. BMC Biology. 13(1). 96–96. 18 indexed citations
8.
Bolukbasi, Mehmet Fatih, Arda Mizrak, Gokhan Baris Ozdener, et al.. (2012). miR-1289 and “Zipcode”-like Sequence Enrich mRNAs in Microvesicles. Molecular Therapy — Nucleic Acids. 1. e10–e10. 239 indexed citations
9.
Mizrak, Arda, Mehmet Fatih Bolukbasi, Gokhan Baris Ozdener, et al.. (2012). Genetically Engineered Microvesicles Carrying Suicide mRNA/Protein Inhibit Schwannoma Tumor Growth. Molecular Therapy. 21(1). 101–108. 280 indexed citations
10.
Saydam, Okay, Ozlem Senol, Thomas Würdinger, et al.. (2010). miRNA-7 Attenuation in Schwannoma Tumors Stimulates Growth by Upregulating Three Oncogenic Signaling Pathways. Cancer Research. 71(3). 852–861. 129 indexed citations
11.
Saydam, Okay, Gokhan Baris Ozdener, Ozlem Senol, et al.. (2010). A novel imaging-compatible sciatic nerve schwannoma model. Journal of Neuroscience Methods. 195(1). 75–77. 15 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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